Kubernetes is becoming the backbone of multimodal AI — combining GPUs, smart schedulers, and model-serving tools to run text, image, etc., cost-effectively.
Learn all about the eight essential LLM development skills every enterprise AI team must master for production-ready, scalable, and auditable AI systems.
At scale, Glue jobs become shuffle-bound, not CPU-bound. Skew and file strategy dominate runtime. Adding workers helps less than reshaping the workload.
A focused deep dive into security misconfigurations — CORS, headers, cookies, admin exposure — and how to eliminate them with hardening and automated CI/CD enforcement.
This article compares the use of custom Lambda authorizers in AWS API Gateway and AWS AppSync, focusing on their respective approaches to API authorization.
How we built ZUL-writer: an agent skill that turns textual requirements and UI mockups into production-ready front-end code (ZUL) and Java controller templates.
AI systems now function as dependable work execution engines, performing tasks that go far beyond basic chatbot capabilities through multi-agent systems.
In this article, we analyze the key Java 25 features and changes from Java 21, including Gatherers, JEPs, and simplified coding examples for faster adoption.
The Agent Development Kit enforces modularity and type safety to decouple logic from models, ensuring agents remain durable assets despite rapid technology shifts.
Bearer tokens grant access to anyone who holds them. DPoP fixes this by binding each token to a cryptographic key pair: every request must include a signed proof.